MassIVE MSV000100133

Partial Public

Effect of Processing and Microbial Inoculation on the Peptidomics of Goat Cheeses

Subscribe Comment Convert Spectra Add Reanalysis

Description

The aim of these peptidomic study was to identify and characterize the peptides released after the in vitro digestion of goat cheeses, allowing the comparison of the effects of heat treatment (Raw versus Pasteurized) and the inoculation of Limosilactobacillus mucosae CNPC007 during their production. Mass spectrometry analysis provided precise mapping of the peptide sequences generated, including their size, composition, and structural properties. These data enabled the association of peptide profiles with potential biofunctional activities, positioning goat cheese as a promising functional matrix for the development of value added foods. [doi:10.25345/C5B56DJ2Q] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Goat cheese ; Peptides ; Limosilactobacillus mucosae inoculation ; DatasetType:Other (Peptidomic)

Contact

Principal Investigators:
(in alphabetical order) 		Adriane Elisabete Antunes de Moraes, Universidade Estadual de Campinas (UNICAMP), Brazil
Angela Matilde da Silva Alves, Universidade Estadual de Campinas (UNICAMP), Brazil
Bruno Cesar Rossini, Universidade Estadual Paulista (UNESP), Brazil
Camila Neves Meireles Costa, Universidade Federal da Paraiba (UFPB), Brazil
Ezequiel Ricardo Coscueta, Universidade Catolica Portuguesa, Portugal
Fabiana Andrea Barrera Galland, Instituto de Tecnologia em Alimentos (ITAL), Brazil
Julia Mariano Caju de Oliveira, Universidade Federal da Paraiba (UFPB), Brazil
Lucilene Delazari dos Santos, Universidade Estadual Paulista (UNESP), Brazil
Manuela Machado, Universidade Catolica Portuguesa, Portugal
Maria Elieidy Gomes de Oliveira, Universidade Federal da Paraiba (UFPB), Brazil
Maria Manuela Pintado, Universidade Catolica Portuguesa, Portugal
Maria Teresa Bertoldo Pacheco, Instituto de Tecnologia em Alimentos (ITAL), Brazil
Submitting User: lucilene
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

Species

Instrument

Modifications

- Dataset Reanalyses

+ Dataset History

Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.